ArticleFrontiers in computational neuroscience2008
Rapid odor processing in the honeybee antennal lobe network.
Article in Frontiers in computational neuroscience, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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Who cites it
75 citing papers in PubMed, 159 citations in OpenAlex.
- Antennal Lobe Dynamics And The Generation Of Diverse Response Patterns To Mechanosensory Stimulation.bioRxiv : the preprint server for biology · 2026Article
- Multi-unit recordings in the stick insectFrontiers in physiology · 2026Article
- High-speed odor sensing using miniaturized electronic nose.Science advances · 2024Article
- Article
- Characterisation of New Zealand Propolis from Different Regions Based on Its Volatile Organic Compounds.Molecules (Basel, Switzerland) · 2024Article
- Olfactory receptor neurons are sensitive to stimulus onset asynchrony: implications for odor source discrimination.Chemical senses · 2024Article
- Extracting spatial information from temporal odor patterns: insights from insects.Current opinion in insect science · 2023Review
- Gain modulation and odor concentration invariance in early olfactory networks.PLoS computational biology · 2023Article
- Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees.Scientific reports · 2023Article
- In Search for the Retrievable Memory Trace in an Insect Brain.Frontiers in systems neuroscience · 2022Review
- Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies.PLoS computational biology · 2021Article
- Olfactory coding in honeybees.Cell and tissue research · 2021Review
- The neuroethology of olfactory sex communication in the honeybee Apis mellifera L.Cell and tissue research · 2021Review
- Structural plasticity of olfactory neuropils in relation to insect diapause.Ecology and evolution · 2020Article
- A spiking neural program for sensorimotor control during foraging in flying insects.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Review
- Insect brain plasticity: effects of olfactory input on neuropil size.Royal Society open science · 2019Article
- Article
- Segregation of Unknown Odors From Mixtures Based on Stimulus Onset Asynchrony in Honey Bees.Frontiers in behavioral neuroscience · 2019Article
- Odorant mixtures elicit less variable and faster responses than pure odorants.PLoS computational biology · 2018Article
15 more citing papers are in PubMed but not listed here.
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3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
In their natural environment, many insects need to identify and evaluate behaviorally relevant odorants on a rich and dynamic olfactory background. Behavioral studies have demonstrated that bees recognize learned odors within <200 ms, indicating a rapid processing of olfactory input in the sensory pathway. We studied the role of the honeybee antennal lobe network in constructing a fast and reliable code of odor identity using in vivo intracellular recordings of individual projection neurons (PNs) and local interneurons (LNs). We found a complementary ensemble code where odor identity is encoded in the spatio-temporal pattern of response latencies as well as in the pattern of activated and inactivated PN firing. This coding scheme rapidly reaches a stable representation within 50-150 ms after stimulus onset. Testing an odor mixture versus its individual compounds revealed different representations in the two morphologically distinct types of lateral- and median PNs (l- and m-PNs). Individual m-PNs mixture responses were dominated by the most effective compound (elemental representation) whereas l-PNs showed suppressed responses to the mixture but not to its individual compounds (synthetic representation). The onset of inhibition in the membrane potential of l-PNs coincided with the responses of putative inhibitory interneurons that responded significantly faster than PNs. Taken together, our results suggest that processing within the LN network of the AL is an essential component of constructing the antennal lobe population code.
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